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Data Warehouse Architect- Direct Hire; 100% onsite (Dallas TX) POSITION OVERVIEW The Data Warehouse Architect Role involves strategically designing and implementing data warehouses, data marts, and data stores as well as requisite ETL (Extract, Transform, Load) and visualization (reporting) development while ensuring high levels of data availability.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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Design and implement scalable and efficient data processing architectures using Databricks. Technical Lead with 12+ years of experience as well as expertise in data engineering and analytics in.
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Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. including data processing using Apache Spark, Delta Lake, Unity Catalog, and MLflow.
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And domain-led (e.g., role-based awareness) cyber risk mitigation initiatives in close collaboration with the Digital Risk Leader for ERP and Finance data domains, amongst others. Holistic oversight over cyber & data risks/security topics: setting the vision in line with global Cybersecurity and Data strategy, providing directions and support to relevant cyber & data security initiatives in the Governance domain and its satellite initiatives.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Integrate data platform infrastructure with other systems fostering seamless collaboration among teams e.g. system integration with Fivetran, Monte Carlo, Salesforce Data Cloud, Tableau, Looker, Teradata, Bigquery.
$128,000 - $171,175 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing. Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Looking for a Technical Lead with 12+ yrs of experience as well as expertise in data engineering and analytics in. Experience with data engineering concepts, ETL processes, and data modeling.
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This includes serving as a subject matter expert on BI tools and analytical techniques including, data blending, statistical modeling, automation of manual processes, and data visualization.
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Use Hadoop, Map Reduce, Sqoop, Hive, Pig, Apache HBase, MongoDB, YARN, MYSQL, Oracle, Apache HBase, Hive, Teradata, Synapse, Windows, Unix, Linux, Java, Python, Shell scripting, PL/SQL Pig scripting, Microsoft Azure, AWS, Cloudera (CDH3, CDH4, and CDH5), Hortonworks, GIT, Docker, Jenkins, Kubernetes, Azure Data Lake Storage Gen2, Power BI, Agile, Kanban, DevOps, Waterfall, Eclipse, JIRA, Jupyter notebook, Ansible, and Kibana to meet business needs.
$130,270 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Distributed Computing: Use frameworks like Apache Spark or Databricks to perform real-time and batch data processing at scale. MoneyGram, a leading Fintech, is seeking a highly motivated Data Scientist to join our dynamic team.
$85,000 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have expertise in Python, AI/ML, Power BI, Power Apps, Power Automate, Snowflake, Oracle, SQL, and SharePoint (knowledge is a plus), with a strong background in data analysis, machine learning, and visualization.
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data job Title: project manager Company: Nike Inc in Dallas, TX
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